Teams

V - PRC Ventura Strong

2023 USTA Mixed 40 &Over · V - Mixed 8.0

13 players · average NTRP 4.06 / SO.CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule5 played
L#1 DoublesHarry Mapanda / Nathalie Smith vs Kris Jordan / Liat Ciardi5-7, 2-6
2023-06-04vs V - WAC ON/WAC OFFLost 01
L#1 DoublesNathan Waxer / Nahed Stefany vs Mark Birnbaum / Janet Fang-Putinier5-7, 3-6
2023-05-21vs V - Spanish Hills ConquestsWon 10
W#2 DoublesBarry Rothstein / Nahed Stefany vs Michael Beaudry / Valerie Tackett6-3, 2-6, 1-0
2023-05-13vs V - Malibu BreakersLost 01
L#1 DoublesHarry Mapanda / Nathalie Smith vs Vassil Pertchinkov / Maureen Weston5-7, 4-6
2023-04-30vs V - Sunset Hills Are AliveWon 20
W#1 DoublesHarry Mapanda / Nahed Stefany vs Paul Krasner / Susan Dahlberg6-0, 6-2
W#2 DoublesAlan Siu / Keressa Garland vs Robert Toone / Eliza Toone7-5, 7-5
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for V - Mixed 8.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.77 estimated across 13 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

4.17
Harry Mapanda
usually #1 Doubles 100% · published 4.5
4.15
Nathan Waxer
published
4.09
Alan Siu
published 4.5
4.04
Nahed Stefany
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
4.00
Jennifer Lawler
published
3.80
Barbara Connelly
published 4
3.74
Darcy Antonellis
published 4
3.70
Douglas Donald
published 4
3.69
Nathalie Smith
published
3.65
Barry Rothstein
published 4
3.63
Ann Gallimore
published 4
3.32
Michael Garland
published
3.08
Keressa Garland
usually #2 Doubles 67%, also #1 Doubles 17% · published 3
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Keressa Garland + Harry Mapanda4160% gamesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

4.5
Harry Mapanda
130W–41L career · 3 lines in 2023
10%90%1%
4.17
Nathan Waxer
15W–6L career · no lines in 2023
12%88%<1%
4.15
4.5
Alan Siu
9W–12L career · no lines in 2023
25%75%<1%
4.09
4.5
Nahed Stefany
267W–157L career · 3 lines in 2023
37%63%<1%
4.04
Jennifer Lawler
2W–11L career · no lines in 2023
48%52%<1%
4.00
4
Barbara Connelly
7W–4L career · no lines in 2023
1%93%6%
3.80
4
Darcy Antonellis
17W–10L career · no lines in 2023
3%94%2%
3.74
4
Douglas Donald
6W–12L career · no lines in 2023
7%92%1%
3.70
Nathalie Smith
7W–6L career · no lines in 2023
7%92%1%
3.69
4
Barry Rothstein
4W–2L career · no lines in 2023
13%87%<1%
3.65
4
Ann Gallimore
3W–3L career · no lines in 2023
16%84%<1%
3.63
Michael Garland
10W–11L career · no lines in 2023
1%91%9%
3.32
3
Keressa Garland
88W–113L career · 6 lines in 2023
<1%27%73%
3.08

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.